Timezone: »
Poster
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho · Peter Chen · Aravind Srinivas · Rocky Duan · Pieter Abbeel
Flow-based generative models are powerful exact likelihood models with efficient sampling and inference. Despite their computational efficiency, flow-based models generally have much worse density modeling performance compared to state-of-the-art autoregressive models. In this paper, we investigate and improve upon three limiting design choices employed by flow-based models in prior work: the use of uniform noise for dequantization, the use of inexpressive affine flows, and the use of purely convolutional conditioning networks in coupling layers. Based on our findings, we propose Flow++, a new flow-based model that is now the state-of-the-art non-autoregressive model for unconditional density estimation on standard image benchmarks. Our work has begun to close the significant performance gap that has so far existed between autoregressive models and flow-based models.
Author Information
Jonathan Ho (UC Berkeley)
Peter Chen (Covariant.ai)
Aravind Srinivas (UC Berkeley)
Rocky Duan (University of California, Berkeley)
Pieter Abbeel (OpenAI / UC Berkeley)
Related Events (a corresponding poster, oral, or spotlight)
-
2019 Oral: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design »
Thu Jun 13th 12:10 -- 12:15 AM Room Hall B
More from the Same Authors
-
2020 Poster: CURL: Contrastive Unsupervised Representations for Reinforcement Learning »
Michael Laskin · Aravind Srinivas · Pieter Abbeel -
2020 Poster: Planning to Explore via Self-Supervised World Models »
Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak -
2020 Poster: Responsive Safety in Reinforcement Learning by PID Lagrangian Methods »
Adam Stooke · Joshua Achiam · Pieter Abbeel -
2020 Poster: Variable Skipping for Autoregressive Range Density Estimation »
Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen -
2019 Workshop: Workshop on Self-Supervised Learning »
Aaron van den Oord · Yusuf Aytar · Carl Doersch · Carl Vondrick · Alec Radford · Pierre Sermanet · Amir Zamir · Pieter Abbeel -
2019 Poster: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
Friso Kingma · Pieter Abbeel · Jonathan Ho -
2019 Poster: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan -
2019 Oral: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan -
2019 Oral: Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables »
Friso Kingma · Pieter Abbeel · Jonathan Ho -
2019 Poster: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
Daniel Ho · Eric Liang · Peter Chen · Ion Stoica · Pieter Abbeel -
2019 Poster: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
Marvin Zhang · Sharad Vikram · Laura Smith · Pieter Abbeel · Matthew Johnson · Sergey Levine -
2019 Oral: Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules »
Daniel Ho · Eric Liang · Peter Chen · Ion Stoica · Pieter Abbeel -
2019 Oral: SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning »
Marvin Zhang · Sharad Vikram · Laura Smith · Pieter Abbeel · Matthew Johnson · Sergey Levine -
2018 Poster: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
Tuomas Haarnoja · Aurick Zhou · Pieter Abbeel · Sergey Levine -
2018 Poster: PixelSNAIL: An Improved Autoregressive Generative Model »
Xi Chen · Nikhil Mishra · Mostafa Rohaninejad · Pieter Abbeel -
2018 Oral: Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor »
Tuomas Haarnoja · Aurick Zhou · Pieter Abbeel · Sergey Levine -
2018 Oral: PixelSNAIL: An Improved Autoregressive Generative Model »
Xi Chen · Nikhil Mishra · Mostafa Rohaninejad · Pieter Abbeel -
2018 Poster: Automatic Goal Generation for Reinforcement Learning Agents »
Carlos Florensa · David Held · Xinyang Geng · Pieter Abbeel -
2018 Poster: Latent Space Policies for Hierarchical Reinforcement Learning »
Tuomas Haarnoja · Kristian Hartikainen · Pieter Abbeel · Sergey Levine -
2018 Poster: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
John Co-Reyes · Yu Xuan Liu · Abhishek Gupta · Benjamin Eysenbach · Pieter Abbeel · Sergey Levine -
2018 Poster: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2018 Oral: Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control »
Aravind Srinivas · Allan Jabri · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2018 Oral: Automatic Goal Generation for Reinforcement Learning Agents »
Carlos Florensa · David Held · Xinyang Geng · Pieter Abbeel -
2018 Oral: Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings »
John Co-Reyes · Yu Xuan Liu · Abhishek Gupta · Benjamin Eysenbach · Pieter Abbeel · Sergey Levine -
2018 Oral: Latent Space Policies for Hierarchical Reinforcement Learning »
Tuomas Haarnoja · Kristian Hartikainen · Pieter Abbeel · Sergey Levine -
2017 Poster: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
Chelsea Finn · Pieter Abbeel · Sergey Levine -
2017 Poster: Prediction and Control with Temporal Segment Models »
Nikhil Mishra · Pieter Abbeel · Igor Mordatch -
2017 Poster: Reinforcement Learning with Deep Energy-Based Policies »
Tuomas Haarnoja · Haoran Tang · Pieter Abbeel · Sergey Levine -
2017 Poster: Constrained Policy Optimization »
Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel -
2017 Talk: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks »
Chelsea Finn · Pieter Abbeel · Sergey Levine -
2017 Talk: Prediction and Control with Temporal Segment Models »
Nikhil Mishra · Pieter Abbeel · Igor Mordatch -
2017 Talk: Reinforcement Learning with Deep Energy-Based Policies »
Tuomas Haarnoja · Haoran Tang · Pieter Abbeel · Sergey Levine -
2017 Talk: Constrained Policy Optimization »
Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel
